Nested Named Entity Recognition with Span-level Graphs 具有span级图的嵌套命名实体识别 acl 2022 原文地址:2022.acl-long.63.pdf (aclanthology.org) Abstract 基于span的方法(span-based)在处理嵌套NER的问题上很有潜力,但是正负例的大量重叠会使得其退化。此外,泛化能力在嵌套NER上也很重要,因为测试集中的大部...
命名实体识别是将给定文本中的文本片段(span)识别出来并进行分类。 过去的命名实体识别主要考虑的是扁平命名实体识别(flat NER)。近年来有一些工作考虑了实体之间可能存在嵌套关系,由此对应地提出嵌套命名实体识别(nested NER)这一新任务。 具体来说,如下图(1)所示:“上海市红十字会”就是一个典型的包含嵌套命名实体...
References [1] Nested Named Entity Recognition Revisited [1] Straková, Jana, Milan Straka, and Jan Hajič. "Neural architectures for nested NER through linearization." arXiv preprint arXiv:1908.06926 (2019). [2] Straková, Jana, Milan Straka, and Jan Hajič. "Neural architectures for ne...
Span-based modelMulti-task learningNamed Entity Recognition (NER) is generally regarded as a sequence labeling task, which faces a serious problem when the named entities are nested. In this paper, we propose a span-based model for nested NER, which enumerates all possible spans as potential ...
Code associated with the paperPyramid: A Layered Model for Nested Named Entity Recognitionat ACL 2020. Citation @inproceedings{jue2020pyramid,title={Pyramid: A Layered Model for Nested Named Entity Recognition},author={Wang, Jue and Shou, Lidan and Chen, Ke and Chen, Gang},booktitle={Proceeding...
A Unified MRC Framework for Named Entity Recognition Xiaoya Li*, Jingrong Feng*, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li Preprint.arXiv If you find this repo helpful, please cite the following: @article{li2019unified, title={A Unified MRC Framework for Named Entity Recognition}, author...
Named entity recognition (NER) is a fundamental problem in natural language processing. In particular, nested entities are commonly existed in real-life textual data for the NER task. However, the current span-based methods for nested NER are computationally expensive, lacking of explicit boundary ...
Nested named entity recognition (NNER) aims to identify potentially overlapping named entities. Sequence labeling method and span-based method are two commonly used methods in nested named entity recognition. However, the linear structure of sequence labeling method results in relatively poor performance,...
head boundary、token、hail boundary的交互,参考这里:HIT- Nested Named Entity Recognition via Head-Tail Pair and Token Interaction 1.三仿射变换:Triaffine Transformation 其中:u、v、w和tensorW,拼接单位阵是为了保持双仿射。 也就是说,头尾边界作为u和v,token或者span作为w,W和V是注意力和仿射分数的时候分...
Span-based methods have unique advantages for solving nested named entity recognition (NER) problems. As primary information, boundaries play a crucial role in span representation. However, auxiliary information, which assists in identifying entities, still needs to be adequately investigated. In this ...